Communication between agents is key to improving the efficiency of coordination by exchanging messages, particularly in complex real-world applications under
partially observable environments, such as multi-robot exploration [1]} and autonomous vehicles [2]}.
Recently, learning communication protocols instead of pre-designed protocols has become an active area in multi-agent reinforcement learning [3]}.
